# europe_ital009 - Abetone - Breitenmoser Tree Ring Chronology Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # # Online_Resource: # # Original_Source_URL: # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2016-01-07 #-------------------- # Title # Study_Name: europe_ital009 - Abetone - Breitenmoser Tree Ring Chronology Data #-------------------- # Investigators # Investigators: Breitenmoser, P.; Bronnimann, S.; Frank, D. #-------------------- # Description_and_Notes # Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details #-------------------- # Publication # Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D. # Published_Date_or_Year: 2014-03-11 # Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies # Journal_Name: Climate of the Past # Volume: 10 # Edition: # Issue: # Pages: 437-449 # DOI: 10.5194/cp-10-437-2014 # Online_Resource: www.clim-past.net/10/437/2014/ # Full_Citation: # Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based Vaganov–Shashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4–6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL model’s ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate. #-------------------- # Funding_Agency # Funding_Agency_Name: Swiss National Science Foundation # Grant: #-------------------- # Site_Information # Site_Name: Abetone # Location: # Country: Italy # Northernmost_Latitude: 44.12 # Southernmost_Latitude: 44.12 # Easternmost_Longitude: 10.7 # Westernmost_Longitude: 10.7 # Elevation: 1400 m #-------------------- # Data_Collection # Collection_Name: europe_ital009B # Earliest_Year: 1858 # Most_Recent_Year: 1979 # Time_Unit: y_ad # Core_Length: # Notes: {"sensitivity":"moisture"}{"T1":"4.24442370955"}{"T2":"13.2207806412"}{"M1":"0.022184475911"}{"M2":"0.571797463474"} #-------------------- # Species # Species_Name: silver fir # Species_Code: ABAL #-------------------- # Chronology: # # # #-------------------- # Variables # # Data variables follow that are preceded by ## in columns one and two. # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # ##age age, , ,years AD, , , , ,N ##trsgi tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N # #-------------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: nan # age trsgi 1858 1.17 1859 1.087 1860 0.948 1861 1.061 1862 0.994 1863 1.126 1864 1.018 1865 1.118 1866 1.038 1867 1.25 1868 0.929 1869 1.087 1870 0.972 1871 0.933 1872 0.82 1873 1.179 1874 0.796 1875 0.847 1876 0.842 1877 0.743 1878 0.965 1879 0.639 1880 0.794 1881 0.939 1882 0.962 1883 0.9 1884 1.155 1885 1.044 1886 1.118 1887 0.989 1888 0.968 1889 1.03 1890 1.163 1891 0.928 1892 1.023 1893 1.115 1894 1.025 1895 0.961 1896 0.868 1897 1.178 1898 1.276 1899 1.326 1900 1.043 1901 1.078 1902 1.137 1903 1.289 1904 1.243 1905 0.798 1906 0.998 1907 0.733 1908 0.773 1909 1.096 1910 1.202 1911 1.126 1912 1.126 1913 1.124 1914 1.146 1915 1.103 1916 0.965 1917 0.889 1918 0.875 1919 0.93 1920 0.805 1921 0.867 1922 0.583 1923 0.686 1924 0.756 1925 0.998 1926 1.23 1927 0.918 1928 1.031 1929 0.831 1930 1.183 1931 0.948 1932 1.336 1933 1.342 1934 1.119 1935 0.946 1936 1.082 1937 1.207 1938 0.91 1939 0.832 1940 1.181 1941 1.183 1942 0.927 1943 0.978 1944 0.609 1945 0.732 1946 0.882 1947 0.748 1948 0.813 1949 1.353 1950 0.994 1951 0.943 1952 1.207 1953 1.026 1954 0.92 1955 1.351 1956 1.158 1957 1.0 1958 1.044 1959 0.875 1960 1.117 1961 1.269 1962 0.794 1963 0.484 1964 0.912 1965 0.9 1966 0.842 1967 0.935 1968 0.932 1969 1.159 1970 1.139 1971 0.971 1972 0.788 1973 0.854 1974 0.655 1975 0.623 1976 0.809 1977 0.86 1978 1.069 1979 1.046